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pro vyhledávání: '"Ton, Tri"'
We introduce MDSGen, a novel framework for vision-guided open-domain sound generation optimized for model parameter size, memory consumption, and inference speed. This framework incorporates two key innovations: (1) a redundant video feature removal
Externí odkaz:
http://arxiv.org/abs/2410.02130
Open-vocabulary 3D instance segmentation transcends traditional closed-vocabulary methods by enabling the identification of both previously seen and unseen objects in real-world scenarios. It leverages a dual-modality approach, utilizing both 3D poin
Externí odkaz:
http://arxiv.org/abs/2408.08591
Reinforcement Learning (RL) agents demonstrating proficiency in a training environment exhibit vulnerability to adversarial perturbations in input observations during deployment. This underscores the importance of building a robust agent before its r
Externí odkaz:
http://arxiv.org/abs/2408.00023
Publikováno v:
International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI) 2024
Offline reinforcement learning (RL) addresses the challenge of expensive and high-risk data exploration inherent in RL by pre-training policies on vast amounts of offline data, enabling direct deployment or fine-tuning in real-world environments. How
Externí odkaz:
http://arxiv.org/abs/2405.11206
Akademický článek
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Autor:
Ton, Trinh
Publikováno v:
Dissertations, Theses, and Masters Projects.
Mass spectrometry (MS) is one of the most used techniques in proteomics because it allows for both high-throughput and quantitative analyses. Bottom-up MS-based proteomics involves breaking down proteins into smaller chains of amino acids called pept
Externí odkaz:
https://scholarworks.wm.edu/etd/1686662629
https://scholarworks.wm.edu/context/etd/article/7397/viewcontent/Ton_wmgrad_0261N_10722.pdf
https://scholarworks.wm.edu/context/etd/article/7397/viewcontent/Ton_wmgrad_0261N_10722.pdf
